Hope I’m not duplicating - couldn’t find a clear solution anywhere:
I have a segmentation problem, to which I want to apply an additional classification task.
I assume I should be able to do some customization on top of the following definitions for the segmentation alone:
def open(self, fn): return open_mask(fn, div=True)
_label_cls = SegmentationLabelList
It unsurprisingly fails to replace “return open_mask(fn, div=True)”, with “return [open_mask(fn, div=True), <some_scalar_target> ]” …
I would really appreciate some hints of how to customize this to treat both types of labels (segmentation mask + some classification “scalar” value").
Thanks a lot!